Revenue is expected to show an annual growth rate (CAGR 2020-2024) of 9.3%, resulting in a market volume of CN¥16,929m by 2024.

User penetration is 2.6% in 2020 and is expected to hit 3.6% by 2024.

The average revenue per user (ARPU) currently amounts to CN¥60.51.

In global comparison, most revenue is generated in the United States (CN¥5,394m in 2020).

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The segment of Online Dating is made up of online services that offer a platform on which its members can flirt, chat or fall in love. Two noticeable examples are Tinder and Zoosk. In contrast to matchmaking services, online dating focuses on casual contacting and easy flirting among its members. The users normally carry out the search on their own. In doing so, they can apply search filters with regard to criteria such as age, location and other attributes.

Offline dating agencies or online purchased tickets for speed dating or similar events are not included.

The user base covers paying and non-paying customers.

in-scope

Apps and portals to flirt, chat or fall in love

Apps and portals that create matches based on users location (e.g. Tinder)

Apps and portals that create matches based on simple demographic criteria (e.g. Badoo)

Revenue
Revenue Growth

Reading Support
Revenue in the Online Dating segment amounts to CN¥11,858m in 2020.
Reading Support
The Online Dating segment is expected to show a revenue growth of 19.4% in 2021.

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Revenue

Revenue Growth

Info

Revenue:

The “Revenue” box shows the forecasted revenue development of the selected market (market segment, region) for each year.

Revenue Growth:

The “Revenue Growth” box shows the year-over-year revenue development of the selected market (market segment, region) in percentage terms.

A definition and detailed explanation of the displayed markets can be found here.
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Users
Penetration Rate

in the Online Dating market
in millions
in percent

Reading Support
In the Online Dating segment, the number of users is expected to amount to 276.9m by 2024.
Reading Support
User penetration in the Online Dating segment is at 2.6% in 2020.

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Users

Penetration Rate

Info

User:

The “User” box shows the number of active customers (or accounts) of the selected market (market segment, region) in millions for each year.

Penetration Rate:

The “Penetration Rate” box shows the share of active customers (or accounts) from the total population of the selected market (market segment, region) for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Analyst Opinion

Online Dating is the category with the highest amount of available services and the highest amount of users. Several mobile dating apps have taken off in this segment in the past few years, but few are actually making any significant revenues. Freemium is the most common business model, with some enticing basic services offered for free along with an upsell to more advanced, paid subscriptions. Tinder is a good example for a household name and exceptional good business model. With its swiping feature it became the top-grossing non-game app for the first time in years. Asia and South America are promising regions for the near future.

ARPU

in the Online Dating market
in CN¥

Reading Support
The average revenue per user (ARPU) in the Online Dating segment amounts to CN¥60.51 in 2020.

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Info

ARPU:

The “ARPU” box shows the average annual revenue per paying user of the selected market (market segment, region) for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Users by age
Users by gender
Users by income

in the Online Dating market
in percent
in percent
in percent

Reading Support
In the year 2019 a share of 43.0% of users is 25-34 years old.
Reading Support
In the year 2019 a share of 69.0% of users is male.
Reading Support
In the year 2019 a share of 36.0% of users is in the low income group.

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Users by age

Users by gender

Users by income

Info

Users by age:

The Users by age box shows the age distribution of users of the selected market (market segment, region) in age groups. The data is based on Statista's Global Consumer Survey.

Users by gender:

The Users by gender box shows the gender distribution of users of the selected market (market segment, region). The data is based on Statista's Global Consumer Survey.

Data in countries not covered by the Global Consumer Survey refer to the superordinate world region.

Users by income:

The Users by income box shows the income distribution of users of the selected market (market segment, region) in tertiles. The data is based on Statista's Global Consumer Survey. Values shown are only based on survey respondents who answered the question regarding their income.

A definition and detailed explanation of the displayed markets can be found here.
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Global Comparison - Revenue
Global Comparison - User Penetration

in the Online Dating market
in million CN¥
in percent

Reading Support
With a market volume of CN¥5,394m in 2020, most revenue is generated in the United States.
Reading Support
With a rate of 8.0%, the user penetration in the Online Dating segment is highest in United Kingdom.

Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.

Global Comparison – User Penetration:

The “User Penetration” tab shows a comparison of user penetration rates for 150 of the world’s leading digital economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.
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Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

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CAGR(2017-2024)

Population in m

Number of individuals (all ages) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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0-14 years in m

Number of individuals (age 0-14) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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15-24 years in m

Number of individuals (age 15-24) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

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25-34 years in m

Number of individuals (age 25-34) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

0,000.0

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35-44 years in m

Number of individuals (age 35-44) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

000.0

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45-54 years in m

Number of individuals (age 45-54) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

000.0

000.0

000.0

000.0

000.0

000.0

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55+ years in m

Number of individuals (age 55 and older) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices

0,000.0

0,000.0

0,000.0

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0,000.0

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Consumer spending (current) in CN¥

Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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Foodstuffs, beverages in CN¥

Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

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0,000

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0,000

00,000

00,000

Alcohol, tobacco in CN¥

Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

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0,000

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Clothing, footwear in CN¥

Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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0,000

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Housing in CN¥

Consumer spending per capita for housing, water, electricity, gas and other fuels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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0,000

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0,000

0,000

00,000

00,000

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Household in CN¥

Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

Health in CN¥

Consumer spending per capita for health (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

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0,000

0,000

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0,000

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Transport in CN¥

Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

Communication in CN¥

Consumer spending per capita for communication (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

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Recreation, culture in CN¥

Consumer spending per capita for recreation and culture (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

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0,000

0,000

0,000

Education in CN¥

Consumer spending per capita for education (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

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Restaurants, hotels in CN¥

Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

Other in CN¥

Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

Telecommunication

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Mobile subscriptions per 100 capita

The indicator shows the number of subscriptions (per 100 capita) to the Public Switched Telephone Network (PSTN) using cellular technology. Included are only subscriptions that also allow voice communication, pure data and M2M (machine to machine) connections are not included. | Source: Statista, based on ITU, trade assocations and national regulatory institutions

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Broadband subscriptions per 100 capita

Number of-fixed broadband subscriptions per 100 inhabitants | Source: Statista, based on World Bank

Total health expenditure (private & public) in the selected region in current prices, constant exchange rate | Source: Statista, based on World Bank

00,000,000.0

00,000,000.0

00,000,000.0

00,000,000.0

00,000,000.0

00,000,000.0

00,000,000.0

00,000,000.0

Households in m

The indicator shows the total number of private households in the selected region. Households denote residential communties of people living and keeping house together. Business facilities as well as institutional housholds (like unversity dormitories or retire homes) are not counted as households. | Source: Statista, based on national and international statistical offices

0,000.0

0,000.0

0,000.0

0,000.0

0,000.0

0,000.0

0,000.0

0,000.0

Urban population share in %

Estimated share of the total population in the selected region living in urban areas | Source: Statista, based on UN DESA and national statistical offices

Estimated share of the total population in the selected region using the internet | Source: Statista, based on ITU and national statistical offices

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Indoor cinemas, total

Total Number of indoor cinemas in the selected region | Source: Statista, based on UNESCO

00,000.0

00,000.0

00,000.0

00,000.0

00,000.0

00,000.0

00,000.0

00,000.0

Source: Statista, May 2020

Source: Statista, May 2020, based on IMF, World Bank, UN and Eurostat

Methodology

The Online Dating segment builds on Statista’s primary research (the Statista Global Consumer Survey), bottom-up modeling, market data from independent databases and third-party sources, the analysis of various key market and macroeconomic indicators, historical developments, current trends, and the reported performance indicators of the key market players. All monetary figures refer to the Gross Transactional Value (GTV) and represent what consumers pay for these services. The user metrics show the number of active customers (or accounts) in the market for each year. We show paying- and non-paying users in this segment.

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